Abstract
Membrane proteins, such as ion channels, interact dynamically with their lipid environment. Phosphoinositol-4,5-bisphosphate (PIP2) can directly or indirectly modify ion-channel properties. In auditory sensory hair cells of rats (Sprague Dawley) of either sex, PIP2 localizes within stereocilia, near stereocilia tips. Modulating the amount of free PIP2 in inner hair-cell stereocilia resulted in the following: (1) the loss of a fast component of mechanoelectric-transduction current adaptation, (2) an increase in the number of channels open at the hair bundle's resting position, (3) a reduction of single-channel conductance, (4) a change in ion selectivity, and (5) a reduction in calcium pore blocking effects. These changes occur without altering hair-bundle compliance or the number of functional stereocilia within a given hair bundle. Although the specific molecular mechanism for PIP2 action remains to be uncovered, data support a hypothesis for PIP2 directly regulating channel conformation to alter calcium permeation and single-channel conductance.
SIGNIFICANCE STATEMENT How forces are relayed to the auditory mechanoelectrical transduction (MET) channel remains unknown. However, researchers have surmised that lipids might be involved. Previous work on bullfrog hair cells showed an effect of phosphoinositol-4,5-bisphosphate (PIP2) depletion on MET current amplitude and adaptation, leading to the postulation of the existence of an underlying myosin-based adaptation mechanism. We find similar results in rat cochlea hair cells but extend these data to include single-channel analysis, hair-bundle mechanics, and channel-permeation properties. These additional data attribute PIP2 effects to actions on MET-channel properties and not motor interactions. Further findings support PIP2's role in modulating a fast, myosin-independent, and Ca2+-independent adaptation process, validating fast adaptation's biological origin. Together this shows PIP2's pivotal role in auditory MET, likely as a direct channel modulator.
Introduction
The mammalian auditory mechanoelectrical transduction (MET) channel resides at the tip of actin-filled stereocilia organized in a staircase pattern. These stereocilia constitute the hair cell's sensory organelle, the hair bundle (Hudspeth, 2005). Filamentous structures, composed of cadherin 23 and protocadherin 15, located at the stereocilia tip, termed tip links, connect stereocilia of the second and third row with their next taller neighboring stereocilium (Kazmierczak et al., 2007). Tip links convert shearing motion between stereocilia into a force at the stereocilium tip, close to the presumed MET-channel location (Pickles et al., 1984; Beurg et al., 2009). Transmission electron microscopic data suggest that the area around the lower tip-link insertion point can show membrane “tenting” and a different membrane cytoskeleton interaction than that of the shaft region of the stereocilia (Kachar et al., 2000). However, MET-channel interactions with its lipid environment have not been closely investigated in the auditory field. Theoretical arguments suggest that lipid stretch can provide the needed force to open hair-cell MET channels. However, no direct evidence exists for either a tethered or nontethered channel (Kim et al., 2011; Powers et al., 2014). In general, ion channels interact with their lipid environment (Engel and Gaub, 2008; Anishkin et al., 2014), mostly driven by hydrophilic and lipophilic interactions between the lipid bilayer and protein domains (Webb et al., 1998; Bavi et al., 2016). These interactions affect voltage-sensitive channels, such as Kv1.2 (Kruse and Hille, 2013; Smith et al., 2015) or KCNQ4 (Abderemane-Ali et al., 2012; Zaydman and Cui, 2014), and also mechanosensitive channels, such as MscL (Anishkin et al., 2014; Bavi et al., 2016), MscS (Hurst et al., 2009; Malcolm et al., 2015), TRAAK1 (Patel et al., 2001; Brohawn et al., 2014), and TREK-1 (Chemin et al., 2007a). The lipid environment can affect channels indirectly through membrane curvature/tension changes (Hardie and Franze, 2012; Anishkin et al., 2014; Hille et al., 2015; Pliotas et al., 2015; Bavi et al., 2016) or directly through individual lipid–protein interactions (Suh and Hille, 2008; Hansen et al., 2011; Brohawn et al., 2014; Zaydman and Cui, 2014; Hansen, 2015). Recent data have suggested that extracellular divalent ions indirectly affect mammalian auditory MET properties through alterations in lipid packing (Peng et al., 2016). Together, these data suggest an involvement of the lipid membrane in mammalian auditory MET-channel activation. In this context, we investigated the role of phosphoinositol-4,5-bisphosphate (PIP2) in modulating MET responses.
PIP2 can indirectly activate channels (such as the transient receptor potential channel) due to the conversion from its cylindrical shape to the conical-shaped diacylglycerol (Hardie and Franze, 2012). While this exemplifies an indirect lipid–channel interaction, PIP2 also directly interacts with channels (Zhang et al., 2013), such as the Kir2.2 channel (Hansen et al., 2011; Lee et al., 2016). In isolated vestibular bullfrog sacculus hair cells, PIP2 depletion reduced the MET current and its associated time-dependent adaptation (Hirono et al., 2004). Hirono et al. (2004) suggested that a Ca2+-driven and myosin-based adaptation process underlies these observations, supporting an indirect modulation mechanism of PIP2 on MET. In the mammalian auditory system, Ca2+ does not drive fast adaptation (Peng et al., 2013) and myosin-based adaptation plays a lesser role when stiff probes are used to stimulate the hair bundle (Nam et al., 2015). Hence, we investigated effects of reducing free PIP2 levels on the mammalian auditory inner hair cell (IHC) MET channels. Pharmacologically blocking PIP2 replenishment or directly binding and/or extracting PIP2 from the cell membrane resulted in MET-current effects similar to those described for bullfrog saccule hair cells (Hirono et al., 2004). We extend this work to the mammalian cochlea showing no change in hair-bundle compliance. We further found reductions in single-channel conductance, Ca2+ permeation, and block of the channel. These data suggest a close and possibly direct interaction of PIP2 molecules with the MET channel.
Materials and Methods
Animal protocol/preparation.
Sprague Dawley rats of both sexes and from postnatal day 7 (P7) to P10 were killed by decapitation using methods approved by the Stanford University Administrative Panel on Laboratory Animal Care. Organs of Corti were dissected and placed in recording dishes as previously described (Beurg et al., 2006, 2009; Waguespack et al., 2007; Peng et al., 2013). The tissue was viewed with an analog camera (Olympus, OLZ-150) on an Olympus microscope (BX 51WI) with a water-immersion 60× 1.0 numerical aperture objective (Olympus) for electrophysiological recordings and with a digital camera (QImaging, Retiga Exi) on a custom-built swept-field confocal system (Prairie Technologies) with a water-immersion 100× 1.0 numerical aperture objective. After removing the tectorial membrane, special care was taken in both experimental setups to ensure that IHC bundles were oriented vertically, parallel to the optical pathway. The organs of Corti were perfused with external solution (see Solutions), low external (25 μm) Ca2+ solution, or different drugs.
Solutions.
Unless stated otherwise, tissue was perfused with an extracellular solution containing the following (in mm): 145 NaCl, 2 KCl, 2 CaCl2, 1 MgCl2, 10 HEPES, 6 glucose, 2 pyruvate, 2 ascorbic acid, and 2 creatine monohydrate. Low-Ca2+ external solution contained the following: 147 NaCl, 2 KCl, 0.025 CaCl2, 10 HEPES, 6 glucose, 2 sodium pyruvate, 2 ascorbic acid, and 2 creatine monohydrate. The pH of external solutions was adjusted to 7.4 by addition of NaOH and the osmolality ranged from 304 to 308 mOsm. After adjusting osmolality, DMSO was added to a final concentration of 0.1%, to ensure drug solubility when needed and for easier comparison of control and drug-treated conditions. Phenylarsine oxide (PAO; Sigma-Aldrich) and quercetin (Sigma-Aldrich) were dissolved in 100% DMSO by sonicating for 30 min at 37 kHz, followed by 30 min at 80 kHz, using the sweep setting (sonicator: Elma Ultrasonic, Elmasonic P) followed by a 1:1000 dilution with DMSO-free external solution to a final concentration of 100 μm PAO and 50 μm quercetin in 0.1% DMSO. For single-channel experiments, NaCl was reduced to 132 and 5 mm 1,2-bis(o-aminophenoxy)ethane-N,N,N′,N′-tetra-acetic acid (BAPTA) added to a final osmolality of 304–308 mOsm and 0.1% DMSO. Drugs and other solutions (low Ca2+, 5 mm BAPTA) were applied to the tissue using an apical perfusion pipette (Beurg et al., 2006, 2009; Peng et al., 2013) or with a picospritzer-driven puffer pipette (size, ∼15–20 μm) positioned 15–30 μm away from the patched cell's hair bundle on the opposite side of the patch pipette.
Unless stated otherwise, the internal patch solution contained the following (in mm): 114 CsCl, 10 HEPES, 3.5 MgCl2, 2 ascorbic acid, 5 ATP, 5 creatine phosphate, and 1 ethylene glycol-bis(β-aminoethyl ether)-N,N,N′,N′-tetra-acetic acid (EGTA). Internal solutions were adjusted to pH 7.2 with CsOH and the osmolality ranged from 282 to 286 mOsm. In some experiments EGTA was replaced by 1 mm BAPTA. Poly-l-lysine (Sigma-Aldrich; molecular weight, 30,000–70,000), a PIP2 antibody (PIP2-AB; clone 2C11; Invitrogen), or gentamicin (Sigma-Aldrich) were added to filtered internal solution. Poly-l-lysine was used at a final concentration of 10 μg/ml, the PIP2-AB at a 1:100 dilution, and gentamicin at 1 mm concentration. For Ca2+ imaging experiments, ascorbic acid was increased to 40 mm and CsCl reduced to 117 mm. Fluo-4FF to a final concentration of 1 mm and Alexa 594 to a final concentration of 50 μm were added. The fluorescent dye containing internal solutions were made fresh each experimental day, spin filtered, and kept in the dark until used.
Electrophysiology.
Unless stated otherwise, whole-cell patch-clamp recordings were performed at room temperature (19–22°C) with borosilicate patch pipettes of 2–3 MΩ resistance as previously described (Peng et al., 2013). MET currents were low-pass filtered at 100 kHz, measured with an Axopatch 200B patch-clamp amplifier, digitized with a daq3000 (IOtech) at 500 kHz, and recorded with jClamp (SciSoft). MET currents were off-line filtered at 10 kHz for further visualization and analysis. For single-channel recordings, hair bundles were stimulated with a fluid jet, MET currents were low-pass filtered at 1 kHz, and the 5× gain setting of the Axopatch 200B amplifier was used. Voltages were adjusted off-line for liquid junction potential and cells were held at −84 mV, if not stated otherwise. Cells with >80 pA of leak current were discarded. Uncompensated series resistance was between 3 and 7 MΩ. Recordings were visualized and analyzed using jClamp (SciSoft), OriginPro 8.6 (OriginLabs), Excel (Microsoft), and Clampfit (Molecular Devices). Graphs were generated with OriginPro 8.6 (OriginLab) and Adobe Illustrator (Adobe, CS4).
Single-channel recordings.
After achieving whole-cell configuration and verification of the cell's health status (peak MET current, ∼1 nA; leak current, <75 pA; series resistance, <7 MΩ), 5 mm BAPTA was applied perpendicular to the hair bundle's axis of sensitivity and the elicited MET current recorded simultaneously. Because of the treatment, tip links break and the MET current rapidly declines. A custom-built fluid-jet stimulator was subsequently used to elicit single-channel responses. In ∼5% of conducted experiments, single-channel events were observed (in others, either too many channels were still active or all were lost). Subtracting the individual baseline current from each recorded single event normalized the current to its closed state. In most cases, the hair cells were first treated with BAPTA followed by PAO treatment. In those cases, single-channel events >20 min after PAO application were counted as PAO treated. In some cases, PAO was applied first and BAPTA after the known PAO effects were established. Those recorded events were not different from the ones treated with BAPTA first and PAO later. The recorded events were transferred into histograms and analyzed using Clampfit (Molecular Devices) and OriginPro 8.6 (OriginLab). Gaussian fits with two peaks were run on those histograms and the current difference between the fitted closed-state and open-state peaks was measured as single-channel current. The single-channel currents under control conditions and after PAO treatment were averaged. Single-channel conductance was calculated based on single-channel current and membrane holding potentials and averaged between experiments. Data show means with SD.
Reversal potential.
We recorded the MET current to identical step stimuli at different membrane holdings potentials, stepping from −184 to +116 mV in 20 mV increments and normalized those responses to the MET current amplitude at −184 mV. These IXIV (current–displacement, current–voltage) plots were subsequently fitted with a single-site binding model (see Eq. 3) and the fit parameters from each cell averaged (Kros et al., 1992; Farris et al., 2004).
Actuation.
Hair bundles were either stimulated by a piezo-driven stiff glass probe or a fluid-jet system. For stiff-probe stimulation, borosilicate glass pipettes were fire-polished to match the geometry of P8–P10 IHC bundles and driven by a piezoelectric stack (Thorlabs, AE0505D08F). Stimulus voltages were low-pass filtered at 10–30 kHz with an eight-pole Bessel filter (Frequency Devices, L8L 90PF) coming from the digitial-to-analog converter (IOtech, daq3000), after an adjustable attenuator (Tucker Davis, PA5), and before being sent to a high-voltage amplifier to drive the piezoelectric stack. Probe displacements were calibrated before each experiment using an optical grid and the driving voltage/displacement ratio recorded. Before each experiment, the glass probe was cleaned with Chromerge. While focused on the top of the first row stereocilia, the probe was lowered until it was in the same focal plane as that first row. While the piezoelectric stack was constantly driven by a step stimulation, the probe was lowered toward the bundle until good contact and current response was achieved. Stimulus intensities were adjusted to ensure a full activation curve response that saturated at negative and positive displacements.
The fluid jet used a piezoelectric disc bender, which drove fluid stimulation through a pipette with a diameter of 8–20 μm. The voltage stimulus to drive the disc bender was filtered at 1 kHz with an eight-pole Bessel Filter (Frequency Devices). For every fluid-jet stimulation, the position of the central part of the hair bundle was tracked using high-speed imaging of the stimulation at 10,000 frames per second using the Phantom Miro 320s (Vision Research) and extracted using a Gaussian fit to a bandpass-filtered hair-bundle image-intensity profile (MathWorks, Matlab).
Ca2+ imaging.
The hair bundle was stimulated with the same fluid jet as described above. Fluorescents images of Fluo-4FF and AlexaFluor 594 together with bright-field images were used to identify and measure fluorescent changes in single second-row stereocilia as previously described (Beurg et al., 2009). The Fluo-4FF fluorescent images were acquired at 500 Hz and regions of interest for single stereocilia marked. Subsequently single-stereocilium responses were averaged for each measured cell. Stereocilia from the second row were mostly imaged and a similar focal plane was used before and after drug treatment so that the same population of stereocilia were imaged in each condition. The stimulus protocol consisted of a depolarization step from −84 to +76 mV, a mechanical deflection of the bundle toward its tallest row, while depolarized, followed by a repolarization during the mechanical step (to maximize the fluorescent signal), and a subsequent relaxation of the mechanical stimulus back to the resting position. Mechanical stimuli were applied with a fluid jet and with sufficient amplitude to elicit ∼75% of maximal MET current, to avoid mechanical damage to the hair bundle.
PIP2 immunostaining in P8–P22 rat cochlea explants.
PIP2 labeling in the organ of Corti was described previously (Phillips et al., 2006). Briefly, explants were fixed in 4% paraformaldehyde in 0.1 m sodium phosphate buffer at pH 7.2. The tissue was permeabilized with 1% (w/v) sarkosyl in PBS for 1 h, blocked for 1 h with 5 mg/ml BSA in Tris-buffered saline (TBS; 10 mm Tris-HCl, pH 7.4, 150 mm NaCl), and incubated overnight at 4°C in blocking buffer containing anti-PIP2 monoclonal antibody (1:200 dilution, clone 2C11; Invitrogen, MA3-500, lot number PB200026). The tissue was washed in blocking buffer, incubated with Alexa Fluor 488-conjugated donkey anti-mouse IgG secondary antibody (1:600 dilution; Invitrogen) for 1 h, followed by staining with Alexa Fluor 546-conjugated phalloidin (1:200 dilution; Invitrogen) in TBS for 20 min. Tissues were washed, mounted (Invitrogen, Antifade Gold), and imaged on a confocal microscope (Zeiss, LSM880).
Immunohistochemistry imaging.
Identical microscope settings allowed for a normalization of fluorescence intensity after PAO treatment to the average control intensity for each tissue preparation (n ≥ 5). The resulting stack images were analyzed using Imaris 8.3 (Bitplane). The spot-detection algorithm was applied on selected volumes of interest that encompassed single hair bundles. For outer hair cells (OHCs), the spot cutoff size was 180 nm and smaller spots were not counted, for IHCs the size was 220 nm. Spots per hair bundle were counted and averaged as per cell for a given tissue. The intensity values of those spots were normalized to the average intensity of spots in each tissue. Spot intensities in PAO-treated tissues were normalized to the average fluorescent intensity of the parallel-processed control tissue. In two experiments, tissue used for hair-cell MET current recordings was also immunohistochemically processed. In those cases, the control measurements were taken from an area far away and upstream of the PAO application puff site. Those fluorescent intensities were not different from other measured controls (using identical microscope settings).
Analysis.
We used the following Boltzmann equation to fit the current displacement plots (Eq. 1): y0 is the y-intercept to accommodate mechanically insensitive MET channels after drug application. Imax is the asymptotic maximum, x0 is the set point, and z1 and z2 are the slopes.
The following exponential decay equation was used to fit the current decline at 50% Imax (Eq. 2): where τ1 and τ2 are the time constants and A1 and A2 are the respective amplitudes. x0 is used to shift the fit in time. Double and single exponential fits were evaluated using the Akaike information criterion (AIC), which measures the relative quality of fits and penalizes excess parameters.
Single-site blocking model.
For the single-site blocking model, we used the following equation (Eq. 3): where k is the proportionality constant, δ is the fractional distance of the blocking site through the membrane's electrical field, Vr is the reversal potential, and Vs is the steepness of rectification.
Data availability.
The data that support the findings of this study are available from the corresponding author upon reasonable request.
Experimental design and statistical analysis.
Experiments were designed to avoid any bias of data by ensuring equal use of both sexes and randomization of drug and control experiments. When possible, immunohistochemical experiments were performed on tissues that underwent electrophysiological examination, allowing for collection of data for the same tissue with and without drug treatment. When possible, a complete dataset was acquired for a given cell before and after treatment. These datasets included current–displacement stimuli, paired-pulse stimuli (both at negative and positive holding potentials), and current–displacement/current–voltage stimuli. This was done to minimize animal use and to allow for a good comparability between treated-tissue and untreated-tissue data. The minimal sample size was predetermined by the historical variance observed between cells and an expectation of detecting ≥10% change in response.
Significances were calculated using Student's two-tailed t tests from Excel (Microsoft). P values for comparisons within a cell were paired and for tests between different cells unpaired with unequal variance conditions. Significance levels were as follows: *p < 0.05, **p < 0.01, ***p < 0.001. Data are presented as mean ± SD, unless otherwise noted. The AIC was used to compare the quality of different fitting equations for the time courses of MET current adaptation.
Results
Loss of free PIP2 affects MET currents
We reduced the functional PIP2 membrane levels in three ways: (1) with PAO and quercetin, we blocked phosphatidylinositol-4-kinase (4-K), preventing synthesis of PIP2; (2) using a PIP2-AB and gentamicin, we blocked existing PIP2; and (3) with poly-l-lysine, we bound and extracted PIP2 (Fig. 1a). We mostly used PAO as it was easiest to solubilize, easy to apply (compared with intracellular compounds), and allowed for cells to act as their own control. The other compounds were used to establish the PIP2 specificity of the observed effects. Similar effects were observed on MET-current responses independent of the employed drug, attesting to the ability to selectively target PIP2 pharmacologically. The observed effects included the following: (1) a reduction of peak MET-current amplitude, (2) an increase in MET channels open at rest, (3) a loss of a fast component of adaptation, (4) a delay of MET-current onset after stimulation, (5) an increase in MET-current rise time, and (6) changes to single-channel pore properties. All effects were irreversible during the time frame of the experiments (≤60 min). Each effect is discussed in detail below. For intracellularly applied compounds, the effects were established and stable after ∼10 min, while extracellular application required ∼20 min (Fig. 1c). Intracellular PIP2 served as a control for selectivity by preventing the measured effects ascribed to PIP2 reduction.
Reduction of PIP2 labeling in IHCs and OHCs after PAO treatment
PIP2 labeling was strongest at tips of first-row stereocilia in IHCs and OHCs (Fig. 1b). Second-row and third-row stereocilia were also labeled (Figs. 1b, 3a, arrowheads) but appeared fainter, likely because of the smaller diameter of second-row and third-row stereocilia. The observed labeling correlated well with a previous SEM study of guinea pig inner ear hair-cells that showed PIP2 immunogold labeling along the shaft and at the tips of stereocilia (Tachibana et al., 1984). However, our staining data were slightly different from those reported in mice (Phillips et al., 2006; Goodyear et al., 2008) and bullfrog (Hirono et al., 2004), where stereocilia shafts were also labeled. While the two studies conducted in mice (Phillips et al., 2006; Goodyear et al., 2008) used a transfected construct of GFP and the PIP2-binding domain of PLCδ1 (PH domain) on cultured organs of Corti, the bullfrog study used a monoclonal PIP2 antibody (2C11) on isolated, fixed hair cells (Hirono et al., 2004). While the GFP/PH domain construct would only detect to intracellular leaflet PIP2, the antibody should detect both intracellular and extracellular leaflet PIP2. The fixation and permeabilization methods also influence the results. For example, in our case, we needed to use sarkosyl as detergent for the best results. Without detergent or with Triton X instead of sarkosyl, the PIP2 labeling was fainter or absent, similar to previous results (Hirono et al., 2004). Nonetheless, using older rats, we better reproduced previous data from mice (Phillips et al., 2006; Goodyear et al., 2008), suggesting age rather than species differences in the data (Fig. 2a). Additionally, we used Tecta mutant mice (with detached tectorial membrane) and found persistent stereociliary tip labeling (Fig. 2b). In conclusion, we were able to establish a reliable PIP2 staining protocol, which was sufficient to test whether PAO treatment affects PIP2 levels.
PIP2 foci counts in all stereocilia rows of IHCs and OHCs were significantly reduced after PAO treatment (IHCs: before PAO treatment, 17 ± 5; after PAO treatment, 6 ± 2; Fig. 3b; n = 5; OHCs) and OHC (before PAO treatment, 13 ± 3; after PAO treatment, 4 ± 1, Fig. 3c; n = 5), the reduction was equally spread over all stereocilium rows. Only clear foci of ≥180 nm (OHCs) or 220 nm (IHCs) were counted. In addition, the fluorescence intensity of remaining PIP2 labeling after PAO treatment was significantly decreased compared with controls (Fig. 3e) for IHCs (−44 ± 26%, p = 2.1 * 10−43) and OHCs (−43 ± 28%, p = 5.1 * 10−58). In two experiments, we compared PAO effects on MET current relative to the remaining PIP2 labeling (Fig. 3e) in the same tissue. We analyzed labeled hair bundles upstream (control) and downstream (treated) of the PAO application site (Fig. 3a), finding a correlation between severity of MET-current effects and PIP2 labeling (Fig. 3c–e).
Reduction of peak MET current after PIP2 manipulation
The peak MET current decreased significantly (p = 6 × 10−8) from −907 ± 179 pA in controls (n = 29) to −601 ± 130 pA after >15 min of PAO treatment (n = 22) and from −759 ± 137 pA (controls, n = 12) to −492 ± 98 pA (n = 12, p = 0.0003) after >15 min of treatment with other compounds, independent of stimulus method (stiff probe or fluid jet). The MET currents of untreated controls did not significantly decrease during the same time frame (before treatment, −860 ± 79 pA; after treatment, −834 ± 119 pA, n = 5, p = 0.37). The PAO and other compound effects were not significantly different from one another. Intracellular PIP2 application did not significantly (p = 0.64) affect peak MET current (−895 ± 273 pA; n = 9) compared with controls and protected against PAO treatment (−836 ± 314 pA; n = 9).
Increased baseline current reflects an increased number of open MET channels
The baseline current increased after PIP2 manipulations. Negative hair-bundle displacements, using either a stiff-probe stimulator or a fluid jet, were less effective at closing channels and reducing this standing current (Fig. 4f). However, application of 1 mm curare, a known MET-channel blocker (Glowatzki et al., 1997), or 5 mm BAPTA, known to break tip links, resulting in channel closure (Crawford et al., 1991), reduced the baseline current increase (Fig. 4a–d), suggesting that it is MET current that no longer responds to negative hair-bundle stimulation. The control baseline current increased from −65 ± 16 to −190 ± 42 pA after PAO treatment (p = 0.0015 compared with control), and was reduced to −79 ± 25 pA (p = 0.00085 compared with after PAO treatment; p = 0.042 compared with control) after curare application (Fig. 4a,b; n = 5). When using BAPTA, the control baseline increased from −74 ± 18 to −135 ± 20 pA after PAO treatment (p = 0.00048 compared with control), and returned to −80 ± 16 pA (p = 0.0074 compared with after PAO treatment; p = 0.335 compared with control) after BAPTA application (Fig. 4c,d; n = 5). The baseline current increase after PAO treatment was accompanied by an increase of intracellular Ca2+ levels (monitored with Fluo-4FF), which could be blocked by curare (Fig. 4e). These data suggest that ∼90% of the baseline current increase is MET current and the remaining 10% leak current. Thus, we calculated the proportion of standing MET current for all treated cells, where for PAO treatment it represents 18 ± 8% (n = 12; controls, 2 ± 1%, n = 19) of the total current and for the other compounds 12 ± 6% (Fig. 4g; n = 12; controls, 2 ± 1%, n = 12). Intracellular PIP2 application protected against the PAO effect (internal PIP2: 2 ± 1%; PIP2 + PAO: 4 ± 2%; n = 9). Strong fluid-jet pulls were insufficient to close all MET channels, indicating that some channels became mechanically insensitive. These data show that more MET channels are in an open state at rest and less sensitive to mechanical stimuli after PIP2 manipulations, suggesting that PIP2 is important for channel gating and/or force relay to the channel. A similar result was obtained in bullfrog, though not quantified (Hirono et al., 2004). Mechanically insensitive MET channels have previously been reported for isolated guinea pig hair cells following treatment that breaks tip links (Meyer et al., 1998, 2005).
Reduction in extent of adaptation and loss of a fast adaptation component
Current adaptation during static stimulation is a hallmark of the auditory MET process. We investigated adaptation in the dynamic/temporal domain and in steady-state conditions. Dynamic adaptation was measured as the ratio of the current level before the end of the step stimulus and the peak current during a 5-ms-long step displacement that elicited half-maximal MET current (Fig. 5a, black arrow). In controls, the extent of adaptation was 90 ± 10% (n = 10) and decreased significantly (p = 9.9 × 10−6) to 24 ± 14% (n = 10) after PAO treatment (Fig. 5b). The other tested compounds similarly reduced the extent of adaptation (quercitin: 87 ± 10 to 55 ± 7%; poly-l-lysine: 59 ± 9 to 34 ± 9%; PIP2-AB: 65 ± 7 to 30 ± 3%; gentamicin: 67 ± 11 to 41 ± 5%; Fig. 5b). The intracellular compound controls were different from PAO controls, likely due to early drug-action onset compared with external application of PAO and quercetin. Intracellular PIP2 application did not affect the extent of adaptation (88 ± 8%, n = 7) and protected against PAO treatment (PIP2 + PAO: 84 ± 10%, n = 7; Fig. 5b).
Aside from the reduction in adaptation extent, we also identified kinetic changes in adaptation. Controls required a double exponential decay fit (Eq. 2) to sufficiently describe the MET-current decay during stimulation, with the following time constants: τ1 = 142 ± 60 μs and τ2 = 971 ± 389 μs (Fig. 5c,d; n = 10). A double exponential fit was superior to a single exponential fit, tested with the AIC. After PAO treatment, a single exponential fit was sufficient (tested with AIC), with a time constant (τPAO) of 1298 ± 555 μs (Fig. 5c,d; n = 10), which was significantly different from τ1 (p = 0.0014) but not τ2 (p = 0.087; Fig. 5d). The other compound controls also required double exponential fits (with the following time constants: other-τ1 = 158 ± 83 μs; other-τ2 = 1180 ± 330 μs; Fig. 5d), which changed to a single exponential fit later (τother-drugs = 996 ± 414 μs, different from other-τ1; p = 0.0002, but not from other-τ2, p = 0.16). When PIP2 was included intracellularly a double exponential fit was required (PIP2 τ1 = 209 ± 85 μs; PIP2 τ2 = 1091 ± 356 μs; Fig. 5d), which did not change after PAO application (PIP2 + PAO τ1 = 270 ± 147 μs, p = 0.43, PIP2 + PAO τ2 = 1210 ± 369 μs, p = 0.58). These findings demonstrate the biological nature of fast adaptation (Peng et al., 2013), directly refuting the possibility of stimulus artifacts being the source of τ1, as previously suggested (Corns et al., 2014), because it is unlikely that a mechanical stimulus artifact would be biochemically modulated. It also shows that the fastest component of adaptation is dependent on PIP2.
Reduction of steady-state adaptation
Steady-state adaptation was tested with paired-pulse experiments (Fig. 5e), which also distinguish between adaptation and inactivation. By comparing the relative shift between two activation curves (Fig. 5e,f), before and during a static displacement, to the size of the static displacement, one can calculate the adaptive shift (Fig. 5g). For a static displacement eliciting 60–70% of the peak MET current, this adaptive shift was 73 ± 4% in controls (n = 6) and significantly (p = 3.3 × 10−5) decreased to 28 ± 10% after PAO treatment (Fig. 5g). The adaptive shift for the other compounds was also significantly (p = 3.2 × 10−7) reduced from 69 ± 7 to 34 ± 8% (Fig. 5g; n = 9). Intracellular PIP2 did not significantly (p = 0.41) affect the adaptive shift (66 ± 12%, n = 6) and protected against PAO application (60 ± 4%, n = 6). The adaptive shift reduction was comparable to the dynamic reduction in adaptation extent. Together, the observed effects on dynamic and steady-state adaptation argue that PIP2 is required for the fastest components of adaptation.
Unaffected hair-bundle compliance and slowed MET-current kinetics
We used fluid-jet stimulation to test whether changes to the hair-bundle compliance could account for the observed MET-current effects. Fluid-jet stimulation allows for the assessment of a free-standing hair bundle's mechanical properties and for these properties to dictate the current output. PAO treatment did not alter hair-bundle displacements in response to fluid-jet stimulation (Fig. 6a,b), indicating no effect on global hair-bundle compliance after PIP2 depletion. Baseline and peak MET-current effects (Fig. 6c) were comparable to stiff-probe stimulation. We did, however, observe a change in MET-channel activation. To date, MET-channel activation kinetics match the stimulating probe's rise time, indicating a tight coupling of force generation with channel activation (Ricci et al., 2005; Grillet et al., 2009; Stepanyan and Frolenkov, 2009). However, in response to a half-maximal stiff-probe stimulus, the MET-current rise time (Fig. 6d,e) increased significantly (p = 0.00023) from 42 ± 16 μs in controls (n = 17) to 79 ± 21 μs after PAO treatment (n = 14; Fig. 6e) and from 58 ± 15 μs (n = 12) to 95 ± 12 μs after treatment with other compounds (n = 12, p = 0.00009), which were likely underestimated as control values are limited by probe speed. Fluid-jet stimulation has a slower rise time than stiff-probe stimulation, clearly underestimating true activation kinetics. Even so, MET-channel activation slowed significantly from 0.6 ± 0.1 to 0.9 ± 0.3 ms (n = 10, p = 0.012) after PAO treatment. Here too, intracellular PIP2 application protected against the PAO effect (rise times: before PAO treatment: 58 ± 5 μs; after PAO treatment: 62 ± 6 μs; n = 7, for stiff-probe stimulations, p = 0.09). Altered activation kinetics may reflect a change in channel–stimulus coupling or a change in channel gating energy. The slowed activation kinetics were coupled to an increase in the MET-current delay relative to stimulus onset. Stiff-probe-stimulated MET-current delay increased significantly (p = 6.3 × 10−7) from 37 ± 4 to 56 ± 6 μs after PAO application (Fig. 6h; n = 10) and significantly from 33 ± 9 to 58 ± 21 μs with the other tested compounds (Fig. 6h; p = 0.0105, n = 13). Delays during fluid-jet stimulation increased from 67 ± 26 to 109 ± 30 μs after PAO application (Fig. 6 h; p < 0.01, n = 10). Intracellular PIP2 protected against the effects of PAO (control: 36 ± 4 μs; PAO: 37 ± 2 μs; n = 7, p = 0.64). Together, these data suggest that PIP2 is required for fast MET-channel activation, perhaps reflecting PIP2 modulation of single-channel gating force or a force relay element.
Slight rightward shift and decreased steepness of current–displacement curves
Current–displacement (IX) plots, fitted with a double Boltzmann equation (Eq. 1), provide a means of monitoring force transfer from bundle movement to channel opening. A change in the half-activation position (set-point, X01) can indicate either a change in the resting hair-bundle tension or a change in the channel gating force. Similarly, a slope change (z1, z2) can indicate a change in channel-gating energy or force transfer to the channel. As the ability to close channels was compromised with PIP2 depletion, IX curves were assessed only based on the MET current that could be mechanically manipulated. Subsequent changes in set point and slope were evaluated (Fig. 6f). Both stiff-probe and fluid-jet data showed a small but significant (stiff probe p = 0.0018, fluid jet p = 0.0399) rightward shift in the set-point after PAO treatment (Fig. 6g). They also showed a small but significant (stiff probe p = 0.0023, fluid jet p = 0.041) shallowing of the slope (Fig. 6i). These data suggest that either more force is required to open the channels or that the force relay to the channel is impaired after PIP2 depletion.
Reduction of peak MET current is not due to loss of transducing stereocilia
We used high-speed Ca2+ imaging to test whether the peak MET-current reduction (Fig. 1c) after PAO treatment was due to a loss of transducing stereocilia or a reduction of current per stereocilium. We measured the fluorescence intensity of the Ca2+ indicator Fluo-4FF before and after PAO treatment as a proxy of Ca2+ inflow (Beurg et al., 2009). PAO treatment significantly increased the baseline fluorescence level from 18 ± 11 to 78 ± 43 (arbitrary units), which correlated with the increased resting current and was blocked by curare (Fig. 4e). During stimulation and simultaneous MET current recording, transducing stereocilia were identified by fluorescence-intensity changes (Fig. 5b). During control measurements, 12 ± 3 second-row stereocilia showed increased fluorescence intensity and the same count of second-row stereocilia remained transducing after PAO treatment (12 ± 3, n = 9; Fig. 7d). The MET current was −406 ± 108 pA before and −277 ± 72 pA after PAO treatment (Fig. 7e), which was deliberately nonsaturating to prevent stimulus-induced hair-bundle damage. Thus, there was no change in the number of functional stereocilia, despite the decrease in MET-current amplitude. The fluorescence change (ΔF/F) after PAO treatment was significantly reduced (Fig. 5f; from 2.3 ± 0.7 to 0.7 ± 0.4, p = 5 × 10−17), indicating less Ca2+ entry per stereocilia after PAO treatment. Together, the data show that the peak MET current reduction is not due to loss of functional stereocilia and suggests a change in single-channel properties, such as Ca2+ permeability.
Reduction of single-channel conductance
We used 5 mm extracellular BAPTA to break tip links and measured remaining single-channel events, as previously described (Ricci et al., 2003; Beurg et al., 2006). Events were recorded at −84 mV and at +76 mV membrane holding potential before and after PAO treatment (Fig. 8) and normalized to the closed state. At −84 mV, the single-channel current was significantly (p = 0.00095) reduced from −13.2 ± 1.5 pA (n = 11; Fig. 8a) to −8.3 ± 1.2 pA after PAO treatment (n = 8; Fig. 8b) and at +76 mV the single-channel current was significantly (p = 0.0011) reduced from 14 ± 0.9 pA (n = 7; Fig. 8d) to 10.9 ± 0.8 pA (n = 4; Fig. 8e) after PAO treatment. The single-channel conductance was thus significantly (p = 0.00095) reduced from 157 ± 18 to 104 ± 16 pS at −84 mV and from 185 ± 12 to 143 ± 10 pS at +76 mV (p = 0.0011) after PAO treatment (Fig. 8c,f). This single-channel current reduction of 34 ± 8% (n = 6) was comparable (p = 0.94) to the observed macroscopic peak MET-current reductions of 35 ± 17% (n = 22). Based on single-channel and peak MET current, we calculated the number of active channels to be 64 ± 2 in both control and PAO conditions, supporting the finding that the macroscopic MET peak-current reduction is based on the single-channel conductance reduction. Single-channel adaptation was observed in controls and after PAO treatment. Average single-channel events showed an adaptation extent of 44 ± 16% at −84 mV and 35 ± 18% at +76 mV holding potential. PAO treatment significantly reduced the adaptation extent to 17 ± 7% at −84 mV (p = 0.00015) and 8 ± 4% at +76 mV (p = 0.0025) respectively, which is comparable to the observed macroscopic MET-current effects on dynamic adaptation.
Reduced Ca2+ block strength after PIP2 depletion/block
Ca2+ permeates and blocks the MET channel (Crawford et al., 1991; Ricci and Fettiplace, 1998; Pan et al., 2012). Lowering the external Ca2+ to 25 μm (Ca2+ being the only divalent ion) relieves the Ca2+ block and increases the peak MET current at −84 mV holding potential by 200 ± 39% relative to control conditions (divalent ions: 2 mm Ca2+ and 1 mm Mg2+; Fig. 7a–c). After PAO treatment, the increase in peak current was reduced to 129 ± 16% relative to PAO-treated cells in control conditions. This suggests that PIP2 depletion either decreases the Ca2+-dependent block of the MET current (Crawford et al., 1991) at 2 mm external Ca2+ concentration or strengthens the block at 25 μm external Ca2+ levels.
The MET-current reversal potential gives indication about MET-channel ion selectivity (Ohmori, 1985; Fettiplace, 2009). We calculated the reversal potential based on a single-site blocking model (Eq. 3) as described previously (Rüsch et al., 1994; Farris et al., 2004; Fig. 9d,e). The fit parameters k (proportionality constant) and Vs (steepness of rectification) were not significantly affected. Vr (reversal potential) changed significantly from 4.7 ± 0.5 mV in controls to −4.3 ± 3.5 mV (n = 7, p = 0.0007) after PAO treatment (Fig. 9f), suggesting a change in ion selectivity. δ (Fractional distance through the electric field of membrane) shifted significantly (p = 0.0016) further through the membrane's electrical field toward the intracellular side from a fractional distance of 42 ± 2% in controls to 48 ± 2% after PAO treatment (Fig. 9g). Together the effects on Ca2+ inflow (Fig. 7f), single-channel conductance (Fig. 8c,f), Ca2+-dependent block, and reversal potential (Fig. 9f) suggest that the channel pore was less permeable for Ca2+ when PIP2 was depleted.
Discussion
Although PIP2 is known to modulate other mechanosensitive channels (Chemin et al., 2007a,b; Anishkin et al., 2014; Brohawn et al., 2014; Rasmussen, 2016) and has been shown to affect MET in isolated bullfrog sacculus hair cells (Hirono et al., 2004), PIP2's specific role and mode of action in mammalian auditory hair-cell mechanotransduction was not determined.
Hirono et al. (2004) found that after PIP2 depletion, the open probability increased, while the MET-current peak amplitude and adaptation were reduced. We found similar results for the MET-current peak amplitude reduction, open probability change, and effects on adaptation. This similarity in basic responses would suggest similarity in the underlying mode of action. Our data show that the MET-channel population responsible for the increase in open probability was mechanically insensitive, while in isolated bullfrog sacculus hair cells, negative stimulation was able to close most MET channels (Hirono et al., 2004). This difference may be inherent to differences in hair-bundle cohesion instead of mechanistic difference in PIP2 action (Langer et al., 2001; Karavitaki and Corey, 2010; Nam et al., 2015).
We expanded on the work by Hirono et al. (2004) demonstrating that MET-channel pore properties are altered after PIP2 depletion. These changes in permeation and conductance underlie the observed MET-current peak amplitude reduction.
Hirono et al. (2004) suggested that the loss of interaction between PIP2 and Myo1C was responsible for the observed effects after PIP2 depletion. This seems unlikely in mammalian IHCs for several reasons. First, a myosin-based adaptation process is likely too slow. Second, fast adaptation is Ca2+ independent (Peng et al., 2013). Third, channel location at the lower end of the tip link makes it difficult for myosin at the upper insertion site to be modulated by the MET channel (Peng et al., 2011). Fourth, there is a reduced contribution of the slower component of adaptation in mammalian cochlear hair cells when a stiff probe is used, suggesting that even if a motor component is involved, it likely will manifest with the properties described herein. However, neither dataset provides direct evidence for the underlying mechanism of fast adaptation; the data only support the idea that PIP2 modulates this process in both systems. Also, we have not specifically characterized slower components of adaptation that might be regulated by myosin and PIP2.
Data presented in this manuscript suggest a direct role for PIP2 in modulating MET-channel pore properties and in the manifestation of fast adaptation, rather than an indirect effect through Myo1C (Hirono et al., 2004). Other channels require PIP2 to enable them to become active and perform their function (Tang et al., 2014; Kim et al., 2015; Lee et al., 2016). That PIP2 constitutes ∼1.5% of the lipids in the chicken hair bundle (Zhao et al., 2012) further supports a direct action at a protein in the mechanotransduction complex rather than an indirect effect through changes in membrane curvature or organization.
Adaptation and PO are not exclusively linked
Recent data showed that MET channel PO can be independently modulated by extracellular divalent ion manipulations, while MET-current adaptation remained largely unaltered (Peng et al., 2016). The hypothesis suggested that divalent ions alter lipid packing, which in turn alters the energy required to gate MET channels. We show here a significant reduction of MET-current adaptation with a comparably small effect on PO, additionally supporting the conclusion that adaptation and PO are modulated independently. These data also suggest that PIP2 does not underlie the previously described global lipid packing effect. Additionally, PIP2 is predominantly localized in the intracellular membrane leaflet, its effector site is thus likely found intracellularly, possibly associated with the MET complex.
A fast, PIP2-dependent component of adaptation
A hallmark of the auditory MET channel is adaptation: where during constant stimulation the MET current amplitude decreases but recovers with increased stimulus intensity. While a double exponential fit (τ1 and τ2) is required in controls, a single exponential fit (similar to τ2) is sufficient after PAO treatment. The observed MET-current adaptation effect is further supported by single-channel measurements that showed a reduction of adaptation extent after PIP2 depletion. How PIP2 affects adaptation and the underlying process remains unknown and further investigation is necessary. One possible explanation could be a repacking of PIP2 in the intracellular leaflet that is induced by mechanical stress in the membrane (Li et al., 2011; Yang et al., 2015; Petersen et al., 2016), such as the pull from the tip link, resulting in reduced force relay and subsequent MET-channel closure.
Possible PIP2 interactions
Obvious PIP2-binding motifs were not found in proteins generally implicated in the MET complex P10 and older), such as TMC1 (Pan et al., 2013; Kurima et al., 2015), TMIE (Yang et al., 2010; Zhao et al., 2014), or LHFPL5 (Xiong et al., 2012; Beurg et al., 2015). However, PIP2-binding domains can involve residues from different transmembrane domains or even separate channel subunits (McLaughlin et al., 2002; Hansen et al., 2011). This renders predictions about PIP2-binding sites difficult without knowledge of appropriate tertiary and quaternary structures, as well as stoichiometry of the involved proteins. Independent of possible interaction partners and based on our data, we can speculate on how PIP2 affects MET channels. Known channel–PIP2 interactions, such as between PIP2 and Kir2.2 (Hansen et al., 2011; Lee et al., 2016), suggest that PIP2 is required for a correct tertiary and quaternary structure of the MET channel that could affect the channel pore. Our data also suggest a change in Ca2+ permeability of the MET channel. The supporting results for this are as follows: (1) a reduction of Ca2+ inflow after PAO treatment (Fig. 5f), (2) a reduction of the relief of the Ca2+ block at 25 μm extracellular Ca2+ concentration (Fig. 7c), and (3) a negative shift of the reversal potential (Fig. 7f). While the negative reversal potential shift could also be explained by a reduction of Na+ permeability, the Ca2+ imaging and relief of block data directly support a change in Ca2+ permeability.
Previous work showed that a negative reversal potential shift is observed when less Ca2+ permeates the channel (Ohmori, 1985). Other data also showed that Ca2+ carries a large portion of the total MET current and modulates the permeability for monovalent ions (Ohmori, 1985; Ricci and Fettiplace, 1998), which would be sufficient to explain single-channel conductance and peak-current reduction.
One can also speculate that effects on the pore structure might alter channel-gating energies that affect channel-state transitions, which could explain the population of mechanically insensitive channels that are open at rest and the effects on current–displacement relationship. Alterations of the vestibule, changing the electrical driving force from the extracellular side, might explain the conductance changes but not the relief of Ca2+ block or reversal potential effects. Effects on adaptation cannot be explained easily, as the structures involved with adaptation and how adaptation works remain unknown. The effects on channel-activation kinetics are insufficient to explain the effects on adaptation, as channel-activation kinetics and channel-adaptation kinetics are likely >1 order of magnitude apart. Assuming that fast adaptation maintains a certain tension on the MET channel, a loss of said tension could slow MET-channel activation. However, it is plausible to suggest that fast adaptation is intrinsic to the MET complex's quaternary structure.
Possible PIP2 mode of action on MET machinery
The dramatic reduction of PIP2 from the stereocilia in 10–20 min, when blocking its synthesis, indicates a high turnover rate and regulation of PIP2, as previously reported, in stereocilia (Hirono et al., 2004) with an as-yet-unknown function; however, this high turnover rate provides a means to investigate PIP2 function. The strength of the MET-current effects correlated with the strength of PIP2 labeling, arguing for a critical minimal amount of PIP2 in the membrane for normal MET-channel function (Fig. 2d–f). Intracellular PIP2 application protected against PAO treatment while not altering MET-current properties, arguing for PIP2 specificity and saturation of its functional site under normal conditions. Interestingly, the single-channel effects we found are generally attributed to changes of the MET machinery and are regularly used to argue for or against a protein's function as the MET channel. While we are not suggesting that PIP2 is the MET channel, manipulations of PIP2 are sufficient to affect single-channel properties and Ca2+ permeation, questioning the validity of these properties as tools for identifying the molecular channel components. PIP2 now joins the ranks of such molecules as TMC1/2 (Pan et al., 2013; Kurima et al., 2015), TMIE (Zhao et al., 2014), and LHFPL5 (Xiong et al., 2012), which can alter what had previously been considered intrinsic channel properties.
In conclusion, our data show that PIP2 is likely a MET-channel cofactor directly interacting with the MET-channel complex, modulating a fast component of adaptation, and affecting MET-channel pore properties.
Footnotes
This work was supported by postdoctoral fellowship EF100/1 to T.E. for conducting research in A.J.R.'s laboratory (German Research Foundation [Deutsche Forschungsgemeinschaft] http://www.dfg.de/en/), by R00 DC013299 from the National Institute on Deafness and Other Communication Disorders (NIDCD) to A.W.P. and by Grant RO1 DC003896 from the NIDCD to A.J.R. Core Grant P30-044992 from NIDCD supports microscope core facilities and L.B. for immunohistochemical work. We thank Bifeng Pan for preliminary work done to manipulate PIP2 levels.
The authors declare no competing financial interests.
- Correspondence should be addressed to Anthony J Ricci, OHNS/Research Division Position: Professor, 300 Pasteur Drive, Edwards Building R145, Stanford, CA 94305. aricci{at}stanford.edu